Method and apparatus for identifying features of multidimensional image data in hypermedia systems

ABSTRACT

In a method and apparatus for identifying features of multidimensional image data in hypermedia systems a multidimensional image, secondary image map and object index associate a program action with each object defined in an image.

[0001] A portion of the disclosure of this patent document contains material which is subject to copyright protection. The copyright owner has no objection to the facsimile reproduction by any one of the patent document or the patent disclosure, as it appears in the Patent and Trademark Office patent file or records, but otherwise reserves all copyright rights whatsoever.

FIELD OF THE INVENTION

[0002] The present invention relates to a method and apparatus for identifying features of multidimensional image data in hypermedia systems.

BACKGROUND INFORMATION

[0003] The World Wide Web (“Web” or “Internet”) provides a simple mechanism, called an image map or ISMAP, for linking two-dimensional spatial data (e.g., images) to related symbolic information such as Universal Resource Locators (URLs). Image maps are a simple technology that link simple polygonal regions within images, often referred to as hotspots (e.g., a graphically defined area in an image), to the locations of data objects on the Internet via a hyperlink. Web image maps currently are the standard mechanism used for creating graphically attractive user interfaces to Web pages. For example, an image could be made into an image map by assigning hotspots to each region of interest on the image. Unfortunately, the standard polygon-based ISMAP technology used in most Web image map systems can only work with simple polygon maps, and becomes either intolerably slow or totally unusable for mapping high-resolution images with large numbers of irregularly shaped objects, such as, for example, objects in the medical anatomy image data which comprise the National Library of Medicine's Visible Human Project.

[0004] U.S. Pat. No. 4,847,604, which is hereby expressly incorporated by reference, describes a method and apparatus to provide additional information concerning a feature of a displayed image by pointing to the location of the feature. The '604 patent provides for the correlation of particular locations in the image with the additional information for two-dimensional images. A need exists to provide such correlation for multidimensional images.

SUMMARY OF THE INVENTION

[0005] A multi-dimensional object indexing system allows many discrete objects to be mapped within a single multi-dimensional dataset. A secondary spatial image of an original image is correlated using a multi-dimensional coordinate value to provide an object index for each object defined in the original multi-dimensional image.

BRIEF DESCRIPTION OF THE DRAWINGS

[0006]FIG. 1 illustrates a flowchart for a method of identifying features of multidimensional image data according to an exemplary embodiment of the present invention.

[0007]FIG. 2 illustrates a flowchart for a method of processing multi-dimensional image data according to an exemplary embodiment of the present invention.

[0008]FIG. 3 illustrates an exemplary system for identifying features of multi-dimensional image data according to an exemplary embodiment of the present invention.

[0009]FIG. 4 illustrates an exemplary database table according to an exemplary embodiment of the present invention.

DETAILED DESCRIPTION OF THE INVENTION

[0010]FIG. 1 illustrates an exemplary flowchart for a method of identifying features of multidimensional image data according to an exemplary embodiment of the present invention. For example, at 1010 an image is accessed, such as a multi-dimensional image or animated GIF image on a web page. At 1020, a location in the image is indicated, for example by clicking on a part of the image using a mouse or other interface device, the image having been preprocessed to be an image map as described, for example, in the '604 Patent or as described below with regard to FIG. 2.

[0011] At 1030, a multidimensional coordinate location is determined for the location identified at 1020. For example, the image map may be a two-dimensional representation (e.g., x-y) of a three dimensional image, such as a three dimensional medical anatomy image maintained by the National Library of Medicine's Visible Human Project. The two-dimensional representation may reflect a particular third dimension view. For example, a particular slice of the image may be shown to a user thus providing a predetermined third dimension, or z-value, for the representation of the image displayed to the user. Accordingly, selecting a particular location on the representation defines the x and y values for the location and the third dimension is already defined. As a result, the multi-dimensional coordinates of the selected image location can be determined.

[0012] In an alternative exemplary embodiment of the present invention, the selection of a image for correlation with additional information may be a multi-step process. For example, an image of an entire anatomical body could be presented to a user and a general area of the image selected, such as the chest, head or abdomen. In response, a detailed view of the related region could be displayed to the user. The user would then select a particular location in the image and receive additional information related to the selected location. As noted above, the images presented to the user will generally be two-dimensional representations viewed on a predetermined or selectable third dimension. In addition, the original image can be manipulated, rotated or sliced for viewing in a preferred orientation. The image location eventually selected by a user, regardless of the orientation and display of the image, will correspond to a particular multi-dimensional coordinate which can be correlated with additional information as described below.

[0013] Alternatively, the image map could be a video clip having x and y values for each frame of the video clip and the third dimension, in this case time, would be determined by the particular frame of the video clip. Thus, multi-dimensional values can be determined for an indicated location. The present invention is not limited, however, to three dimensions as four or more dimensions can be processed according to exemplary embodiments of the present invention. For example, a three dimensional image dataset that changes through time would provide for four dimensions (e.g., x, y, z and time).

[0014] At 1040 a secondary map is queried for the determined multi-dimensional value where, for example, a given x,y,z coordinate in the original image data corresponds to an homologous x,y,z location in the secondary “map” of, for example, 24-bit voxels (e.g., three-dimensional pixels). The 24-bit voxel found at that location in the secondary map then acts as a unique 24-bit object index for the image feature in the original data. At 1050, the system then performs a database table lookup for that 24-bit index in order to find the related descriptive text information or “hot data,” which may be in the form of, for example, HTML code, a URL pointer to a remote Web resource, or Tcl-based applet code. Using the 24-bit voxel allows as many as 16 million discrete objects to be mapped within a single three-dimensional dataset. If desired, even more objects could be mapped in the dataset by using 32-bit voxels. Using an exemplary embodiment of the present invention, animated GIFs, AVIs and MPEGs can be processed to provide enhanced functionality to a Web page to extend image capabilities to multi-dimensional datasets.

[0015]FIG. 2 illustrates an exemplary flowchart for a method of processing image data according to an exemplary embodiment of the present invention. At 2010, multi-dimensional image data is imported. The image data can be, for example, a GIF file of an image or a JPEG or MPEG file of images. At 2020, objects in the image data (e.g., hotspots) are, for example, interactively outlined. An exemplary method for outlining the objects is described in the '604 Patent although other conventional approaches known in the art may be used. The outlining of hotspots requires the user be presented, for example, a two dimensional representation of a multi-dimensional image as described above. Thus, additional dimensions can be predefined for the two-dimensional views presented to a user. At 2030, a program action is determined and associated for each object in the image data. For example, the program action can display explanatory text related to the object in the image or provide a link to a particular Web page. As described above, the program action can be in the form of, for example, HTML code, a URL pointer to a remote Web resource, or Tcl-based applet code.

[0016] At 2040, a secondary image map is generated for the image data. The secondary image map provides, for example, a spatial index of the image with equivalent spatial dimensions as the original image. The secondary image map utilizes, for example, unique 24-bit voxels to associate a unique 24-bit identifier with the pixels in an object outlined at 2020. Alternatively, pixels within an object can have different unique identifiers defining, for example, sub-regions in the object having associated program actions. Other object indices could be used instead of the 24-bit voxels, however, such as a list of polygons or some other indice that correlates a coordinate value in the original image with the secondary image map. The 24-bit values are, for example, arbitrarily assigned to groups of pixels or individual pixels in the object.

[0017] According to an exemplary embodiment of the present invention, each pixel in the object can be an independently addressable hotspot, including for multi-dimensional images. For example, for each mapped multi-dimensional image on a Web page, the Web server hosting the Web page stores the secondary image map. Each pixel or group of pixels in a hotspot defined for the image corresponds to, for example, a flat area of 24-bit color in the secondary image map, as each object pixel or group of pixels owns a unique 24 bit color in the secondary image map. While the primary (original) image is displayed to the user, the secondary image may is generally not shown to the user, although there may be circumstances in which it is desirable to show the secondary image map. At 2050, object table files are generated to associate the pixels in each object with the program action identified at 2030. The object table can have the form of, for example, a database lookup table indexed by the 24-bit voxels to find the corresponding program action for each pixel.

[0018] Exemplary operation of the method for identifying features in multidimensional image data is as follows and as illustrated in FIG. 3. When a user clicks on a location of a multi-dimensional image in an image map in a Web page via a Web browser, the Web browser sends the, for example, x-y coordinates of that location to the Web server. Web browser 3015 can include, for example, conventional Internet browser software such as NETSCAPE® browser software operating in a conventional desktop personal computer 3010, as illustrated in FIG. 3. Web browser 3015 transmits the x-y coordinates to Web server 3020 via a communications link 3030, such as a LAN, WAN, fiber optic, wireless or other conventional computer network communications link. Web server 3020 includes, for example, a conventional NT or SUN Microsystems server and processes the x-y coordinates to generate a multi-dimensional coordinate value.

[0019] As described above, the third dimension may be predetermined as a function of the image presented to the user such as a particular “slice” of an image or a frame of a video clip. Once the multi-dimensional coordinate value is determined, the Web server 3020 launches a, for example, Java-based CGI program to find the corresponding multi-dimensional coordinate value in the secondary image map to determine the unique 24 bit value corresponding to the pixel clicked on in the image by the user. The CGI program then sends the 24-bit value to a, for example, Tcl-based server which takes the 24-bit value and fetches a record from the database lookup table for the corresponding program action to be taken, or the Web server 3020 itself processes the 24-bit value and uses the value as an index into database 3040 coupled to Web server 3020 to determine the program action to be performed. The program action is relayed back by the Web server 3020 for display to the user at client computer 3010, usually in a frame next to the image map. The program action can include, for example, browser redirection, encapsulated HTML, dynamic HTML and downloading and running full-frame applets in the user's Web page. Other program actions can be performed as well. FIG. 4 illustrates an exemplary database table associating a program action 4020 with each identifier 4010 in the database table, such as each unique 24-bit value.

[0020] Thus, according to an embodiment of the present invention, individual pixels or voxels in objects of multi-dimensional image data can be automatically linked to desired program actions in contrast to prior art systems which are limited to indexing of two-dimensional Web images.

[0021] The additional dimension added to the indexing of image maps can vary as a function of the type of image data displayed. Thus, for example, the additional dimension could be the z-coordinate for three-dimensional images or the time dimension for video clips or both for three-dimensional image data recorded over time as well as additional dimensions. Like the multi-dimensional image data, the secondary image map according to an exemplary embodiment of the present invention can have n-dimensions. In addition, the individual pixels in an object of a multi-dimensional image can be individually addressable. Moreover, by adding a dimension to a standard image map request protocol in accordance with an exemplary embodiment of the present invention, the display of an image on a client side of computer network can be independent of the server performing the object identification in the image, thus allowing the capabilities provided by the present invention to be implemented using conventional personal computers or even less powerful devices such as handheld computers or smartphones.

[0022] An exemplary implementation of the method according to an embodiment of the present invention is illustrated below and uses a small (30K) Tcl-based client applet which downloads and runs within the users Web browser page. For example, when a user accesses a web page with multidimensional image data to be viewed, an applet such as the applet described below would be automatically downloaded to the client computer. The applet would then, for example, fetch the appropriate image data, secondary image map and object index table and download the data to the client computer. The client computer web browser then interacts with the download applet to view the image data, for example in the manner described above. For example, the Tcl applet converts the image data back to a viewable image. If the image is a video clip, for example, then the video clip would be displayed to the user. The applet program then waits for the user to click on a location in the video clip. When the user clicks a location, the frame number is determined and the x-y location of the click is determined as described previously, thereby enabling a multidimensional coordinate location for the click to be determined to use as an index into the secondary image map, from which the program action can be determined via an object index table. Tcl/Tk (v. 8.0) Source code for a zMap client-side applet (requires the Tcl Netscape plug-in v. 2.0 from Sun Microsystems, or equivalent): # Eolas Client-side zMap Applet # Copyright (©) 1997, 1998 Eolas Technologies Incorporated. All rights reserved #Distributed only as a part of the Eolas zMap Cs V 1.0 package #For more information on Eolas' zMap products, see http://zmap.eolas.com policy outside package require http ################## # zMap procedures # ################## proc zmap setup {} } global strip which nFrames delayInterval oldurl zmap_url_url width map \ crl_map zmap rgb target set which 0 image create photo strip -data $strip image create photo clr_map -data $map label zwin.l -border 0; pack zwin.1 pack .zwin -anchor w -expand 0 -fill none set nFrames [expr [image width strip] / $width] for {set i 0} {$i < $nFrames} {incr i} { image create photo p$i p$i copy strip -from [expr $i * $width] 0 (expr ($i +1) *$width] 50 } set which 0 3 set up binding for imagemap query as a result of user's mouse click bind zwin.1 cButton-1> { set zmapx_x [expr ($which * $width) + %x] set zmap_rgb [clr_map get $zmap_x %y] set rgb_list [split $zmap_rgb] ::browser::displayURL [querytcl [lindex $rgb list 0]\\ [lindex $rgb_list 1] [lindex $rgb list 2]] $target } bind zwin.l <Button-3> }  :browser::displayURL http://www.eolas.com/metamap $target } } ################## proc zmap_playnext {} } global nFrames which delayInterval if {$delayInterval != 4000) { incr which if {$which >= $nFrames} {set which 0} .zwin.1 configure -image p$which } after $delayInterval zmap_playnext } ################## proc querytcl {R G B} { global header ztable set id [array startsearch ztable] if {[string length $R] == 2} { set R O$R } elseif {[string length $R] == 1} set R 00$R } If {[string length $G] == 2} { set G O$G } elseif { [string length $G] == 1} { set G 00$G } if {[string length $B] == 2} { set B 0$B } elseif { [string length $B1 == 1} { set B 00$b } set searchfor $R$G$B while {[array anymore ztable $id] != 0} { set colors [array nextelement ztable $id] if {$colors == $searchfor} { set record [array get ztable $colors] set record [lindex $record 1] set flag [lindex $record 2] set script [lindex $record 3] switch [string trim $flag] { html { return “$header(html)$script” } url {return “$script” } default { return “$header(html)Incorrect flag in \ database”} } array donesearch ztable $id break } } } ################## proc assign_strip_url {token} { global url_data state strip go upvar #0 $token state set url_data $state(body) set strip $url-data if {$go < 3} { incr go } else { zmap_setup zmap playnext } } proc assign_map_url {token} { global url_data state map go upvar #0 $token state set url_data $state(body) set map $url_data if {$go < 3} { incr go } else { zmap setup zmap_playnext } } proc assign_table_url {token} { global url_data state table go ztable upvar #0 $token state set url_data $state(body) set table $url data array set ztable $table if {$go < 3} { incr go } else { zmap_setup zmap_playnext } } # end proc definitions ################## # begin code main body ######## global ztable width delayInterval header map clr_map zmap_rgb url_data strip \ state table go target set width $embed_args(frame_width) set map_image $embed_args(map_image) set anim_image $embed_args(anim-image) set dfile $embed args(dfile) set target $embed args(target) set rate $embed-args(rate) set delayInterval $rate set header(htm-1) “Content-type: text/html\n\n” set header(url) “Location: ” # Fetch the image, map and object-table data :http::geturl $anim_image -command assign - strip_url :http::geturl $map_image -command assign_map_url ::http::geturl $dfile -command assign_table_url set Name.zwin frame $Name -background LightGray -border 0 -relief flat scale zwin.scale -from 1 -to 4000 -orient horizontal -width 8 -sliderlength 8 \ -tickinterval 0 -length $width -variable delayInterval -showvalue 0 -borderwidth 0 \ -troughcolor black -border 0 pack.zwin.scale -side bottom set go 1 ###### end of applet source code ##################

[0023] An exemplary object index, image and secondary image map are illustrated below. Object information table for the above zMap client-side applet demo: (filename: world.mtb) 189129190 {south_america too {{}} uri south_america.htm} 251000251 {carribean_islands {{}} url caribbean.htm} 185255185 {ireland {{}} url ireland.htm) 255196255 {australia {{}} url australia.htm} 078173214 {cook_island {{}} url pacific_rim.htm} 155155155 {south_america {{}} url south america.html 255255081 {indian_ocean {{}} url indian_ocean.htm} 000189000 {africa {{}} url africa.htm} 102102255 {japan {{}} url japan.htm} 000128000 {hawaii {{}} url hawaii.htm} 255198140 (europe {{}} url europe.htm} 255183219 (bermuda {{}} url bermuda.htm} 189185219 {iceland {{}} url iceland.htm} 255000000 {atlantic ocean {{}} url atlantic.htm} 255196225 {australia {{}} url australia.htm} 255185220 {asia {{}} url asia.htm} 128000128 (indonesia {{}} url indonesia.htm} 255128000 {pacific ocean {{}} url pacific rim.htm} 230204255 {new_guinea {{}} url newguinea.htm} 255077166 {arctic_ocean {{}} url arctic.htm} 189189255 {mediterranean_sea {{}} url mediterranean.htm} 064128128 {north_america {{}} url north_america.htm} 000255255 {bering sea {{}} url pacific_rim.htm} 255255000 {new_zealand {{}} url newzealand.htm} 64129128 {north_america {{}} url north_america.htm} 064149200 {greenland {{}} url greenland.htm} 255255255 {space {{}} url space.htm} 000185000 {madagascar {{}} url africa.htm} 148148148 {indonesian_islands {{}} url indonesian_isles.htm} Animation image strip for the zMap applet demo {Base6 4-encoded aIr image): (filename: world.man) RO1CODdh3AUyAKUAAAAAAAAAbQAAmAAA7gAAhAAAxgAAsgAAigAAtQAASwAAoQAAzAAA9wDV AAAA+gDXAAAA5gAAfAflNAADHAADBAAAA/QC5AACvAAUAACZAACLAAAAwQAFIgAA7AB7AMA rQAA2ABTAAA1AAAA8gAAiAAA3gAAtgAAkQAAEwAAVWAA1gAA1wD8AAD2AAAAbwDoAADgAAAA yAAA8wAAYQAA4gAAeAAAowBoAAAApgAAPAAAOQAA/AAAUwAA6AAAAAAAACwAAAAA3AUyAAAG /kCAcEgsClHIJMrIbDqfRCVOSnOmq9isEKntaq/eBHbIFZu3l+WSKy2vvWrlGx6fO8H2Lz5f Vbr5UH5ygIF+hFSchlOJilaGjU5lg5BHS3+UlZOYRZebnGOeTXuhAFKkUaanjKqPrKmhgpqN KCIcOTkJubkivcKQSBy2uLohvMGydkvBt7oJrTkcvrMowSLDuSEStSLIcBDCzQm3wb/U4M3j Oorfzoj QHL8AvSLh4/CU8/XvSb3XuemUgFmjS4 4cpWoEddnr5q2aP3H7Dp5TCE3dIXYPAUps RzFawGUZK2ICWa9XOZLueH2c+EIkL5QdLV6E2bLWSJYQDUimZMD/sM5PK3pbMTTHiZeHFse w4dz4ca11ve7Nolms108zvBLwmME1gFevM26E4CF0ah5rWrnO+AqWK49sMueg3dqVrVqyKgHN Vcs2ANcQgLUR2lv3690EefNQw0V3rV23iO0uWaw1ROG2M/BKXmMr7WW/kBMn69y472HRdngB Svs4cllAtEQAtuzYcGizdmzNvlEbs2bYnQHzNu22KqFonnuDdo0aKC7hyu8aB4TS7fDWgJuf UV0a+3Q+hK0H3nwmPPHM350Zb/2bD+XutpmTx8qYtWHeZAXrrf/59Hwx68WXH25y0Q0fb+L8 FOaAXtOglocDGWhfg2IFRuB2En7m4Gw2/uk124EBbJjdhWtWN2GIDyYInmw3hOhCDTBGICOM NbgAVjYkeqGagwG8GOOMMNrIG46picBDiz3SKGMENAopVocYbuWVjzUs2eSN2sHBi5RJfsbk krgqiMwwjlrpJzghpmfGYlyaCWSNDaopBptlKvmmjX7xAOUZtOTASQl2fgmnX3AlSGeZHnh5 JaF7rrnjlIEu+msoX0QTgox3uckonpomlsolmEbqgQctbpglG9rshemoVd6JqzwAarmWg6ye WeorpaaxJZlsjoqBrU7CuucndY4Kb3ysaqHartomcmypwrxx65S+/spkonjoEK2usqll46+/ fpvttlkIZBmJc/j+y0qi2yWx2Lldtqruu032QSa6rUAarZ6Uqpst/HKWC2SmekXZZ3p1jAq jwX7m8WyI-C7pK6Y38ABNkZdGLPDCr15cILyaKuzBuB5jmHHAQI4MlsU0j8mix1+SiiKRJbLY bAQEEEACCQf0vDMBrrgoJ5iPrHjzTnv3PMBPxNw7YYlh2Eprb7qzLPPJ0T89.JNFO3F0tRoo jbXWCpvadR0PuvBr0lcznbXTZXO95tRJ4qyzBks3vTW5U6RdpQdW4+022ULSHAabDr5ot9J4 6x03y3MWjfbPYf99taQz6nbWopTPrbTHBs0hy1Sdm513iRoAHTcxbT8RKphmS62/tsaflCyW wcMe2Wuvng9ue+vlSVSt4J9PLLcZurWo9qiWH9B46nCTenysqr7IfNiV/wyu9ThcD8aizHmgg /tJThE262oy93Lv74g8Mt9PRa2qy2vgSs/zzhadYbydRIh22/49zTnyi0Nj/A2U98l7sV/FA1 v78F7oDuy9/zjkC62PaufgcUX7hspC3cSctIyrtg6jK4rzxF7YMZkx3P7AcoX4uoc7EclQqz pzrokapgEzQcAUxYtp2pjknvg+GCbOas3ultVIQ6IbdAVcTT+Ox8qxOSEHVERB6ijmw3nKKy Mg856lgBQIIYxi/eALnTSwzORwcEa9agi-+KcYwrKcMJ/sBlKgBxbdXzic4+MbyWjGOKVRCGvE owYyAEYBZACOZaydH+1INQwOspBi5OMcF7mgO+JtkBk4ZCTjyDS4DSOHANKdwnTmxUzukZOK rIE3D/epFo3qbmOEYyYP+cXlubBgrJSSr3h2AkKGcZaZPIEGF4ZLOEiod7zU4y8zaUuOWsyx aOHmAWJpSDEyc5jSe6YxpSRNau4xA83MJijD4KcWdVOZckcnHRekql1OE52GXIESnyQGYgVA ZOLzSiYTabxihHItalufLOBpx37+UR7nEtkKZOlQphmUkb3CGdS6yVBEQpGSOrKkBmIJTAHw sXb6WicbWtksD6zQjcCUpAvp/rnNRJcSUjymVI+hE+gWS7nKjAlOmODvJJJqWqSwlPaksrQnO 8jEpT39EgfBGlcxcmrKWUNQXUg8HwojW75lDRaQZjlpML9gUcEl9oOd3mjUkdlVXdwzrKW3Z O7NukWomxeobCZmBRLZwlZWESOshOcaigrQG+BimjjSqz3T2OQOMyquvxDdLDNgAR5CFIAYw MEtssvSti8VkBiYbWQzgwAaUVebE/InWkjI2k5P1bGRtoIDKKpJUpMXs9RqbWS6YVgEetWXS H3apzNK2tqmdZR1HZSNtyhaPvwVuaHcKugAYJ17em1aXygyvaCBRXSFfl4VAB8KWAFTHeYtgXa dUdS/iRV5bG73p2Ua3B13PrYoEE6OqOCVIBDZ9Z2VSOrGHb74Cf4EmCaSiTAYYVL3aXSBLflB faBLcPbO7jo2spAPIXBhugBqEB9WsjegeB2uXqNoOX2rCGS2VhCLdWtAVb7ZgUtWA9gPHE EP7sfF2xzSorwM1qyAy4yBGPS4XWmUDXW98E7Uqfla1J/5X)QcbUSIPOScPRfKEL+SUFmV2 BThnYL3B1jFS1USm/vZltlhgc29tGVJgt/DIi+uVbMR+5trj13HHVVAg2M6+XUOZSfCGb2WPM VMVrLq+YNwva2KLMk3H8YXFtfOFBp5fAPe5yGZ22aPL6V74C5qX9KZtb/kU7tBJUOO4rCZrJ He+5vvMl5KSt+2kdKfh6snxwZ3tMSzSzGsFVsLKYYQXhOJ4Yb3fFNRVOjdxSlljC4Q2pnrwa 5mJnmcOePTSbQToKXDxtJO9gLalbQADbPsC4P3xhzRwbUXm+9VbNSAHWB3aYY47C+U2MrrR /YFwulss5KYatjEwb3Qju3yqxDe89Wlufvd725PF7QnmqMoZJcDfzdr3wRHO6YUToOEPH3jE 3TIJ2nV7u9/2VuTP+xDOe+rsBNOF7c6TzjGR/1eh6TV4etRxcPJOf5vq3GO5OEkA9QW89gMf OLrXeS5ugY/851rPNNq7rXSKo3hI5A4LUy169rTTVe71VbVbqWAqflEM9VREV+9+PDflYHWZOK TLybIR+b7sWj3bGcDvHLgXl4nXfg72jf7cHvrxmgExylXL9Atysf+kNE9N1MB2j4KDrZuate 7ZdnrQAsDtjBLwLrxT737YefeBnvPlm.lgL33st/vylcqN79eOGt+55v6GrkAH4+/48t739g0Af 3+faqvnYoX7v3Csc+UtHBNbjLVX+d98Gh+R9+qflQdAMeXUOXdZ36HZ7Ve5qO4GiHChWflSLZX eNZ2es6neu4ncxfn/ngQJ2btV3cex2mkN3DbhW3bZgEaqIEpOIEbiHCiBXSH2CSYqGObqIEU YAEdaAIWoGOEAH8GJoJQwEQ1eAErIaAEpqIEmYAJHX1px5DQy+AQOaG4ZeII5UIHq9OIKSIMR QchvR4JEaIJGeIMuSIMn4DTzJ4SOUoM3eIQauG1WiIX8R3bbGIU2OIUflCIZLeIVNOIaQV4aO VYQb6IUt6HFL+NZKpDGIdSOIdU6HEXIZ5yAQOEHQ3EAF55F1Y1IJ/CG7BJIYGKAr113OL iION2G6Id4hOHQ4OOYCxm1deIkh6HuRwIkE4Ik2XHCCUIppCIgXSIpOYIqOOHC7yIFO/giC r6h8gQAqgCA3caLJtOCCLrqhBafKEs+eLJpd2LCiEXVg7QegEvMhYV6h6O59cKUiM FmACieeIuYiMpJaKaceBHZicK+iRiQeDGjSNhDiEVugOiWCAtbiN2pgCOXh9PSZPOflgDICUiI NgeFKeK24iDwpiPaAd/iRZ26gdQ3UiPLGiPKoiQLXiI/aiLVIflcKZtiNKmiQHSiDcbELGGhAB 7riJa9GJfHiGG6iNE6mOSviDiAAIS9aOM1UgBWtiNSRtGbfiP3bkAVbhZN8mBFMmTmSgJ smiTfciIGwiSFSCQguiGUlB/pXiPJXeKTZ14FW1gR1kEVFiT/r/IjBFpia341CIpPT5pBJGH ituWjdp4i+uGiSTpj +K4kEZIjODYjjKp1nCYbQjQjBQwAQUQMRZABOAk/iIAPVGWXqJkU1Q jYNObihIYY5ARMQAwVQABuQg4qJA6O1TAw5g31pcJNpmZdpmZq5gghwAZ55f11PpThJS4m1JI AYFpmoJZAIhpAp15ftYVfoEQkMg1mThYm7Z5mKrZfbzpA1IZi7J5bER2nJZJm91YfMm5flO/Y nKUJndXpm/VWnWm5BXtYe85JnLYpnS2InHVFAx35nUIQnqQ5nNB5xriDloh66pnOxZiHq3UQIg nM+pnfPJc2GznrB3Awumg6lbtlZ/pZmOYEGZP8DUmBk111ChWAqSAEbEJBLCqD9eJ9BB6GH N6EoeKH++Xg11p6yaGZERqgATGozflKJinGZ3/CV6N+YYeKqEf8JcduAGVGaMZSqMXi+YZQ iKMSmgIBOpgxgJo4SaJAGppcmJ+DxKI56qJHSpiYKZ/ayKAlOoKz53w6aqGZaaWZuQHaqJsa 6qR6SCupk2U4oG1UKphimpq3WaIx5JsZCaWb1aIqiWKWXOabH6Znh+JsEioiRaXAu5p1IInqRy yp3lJQflbeqcQWqhSaXSZeZmYuai76ajSaKelOKgRyp+BiaS3SaaJiZzlSZeCeqNSOp6mWZjG WaqtuXC9/gmbSOmpH5qjpdmjgkimm3Eqr6umgqaqit3oBwdifCqqaPCerwAqpwkqkLGihGMqZ 3ceYtbOsWhipzjqM5GmaPOpZomt1KimnTe1O6qrsqk1IqWQopHRLqNfKqkM5quykimrRCAC WXiH9IipE7AAC6fl/uqv/Lqr+1Th47SY9/2Gv.JMiHOMijMcCv/WqWC4CZZAqSNnBOBus99yqU NtifDvuwfcqx+KhuFSurDjIftJCxpNmfErCyDysBEZuaFOuafnGwrhSFSDkBK5uzEqADATsB EyuyMjsDoFavKGucKquzOfuynixmzsuoXQ6tcDqmwR4uoK2uzP/uCQfUOpZAD/kW7SbVJtTkr oOyrnJc6LsQmrsTcLtlUrn3WIAVlrBTmQnlL7tWp7rq5ItkILtydJAviatnXLtsWIWHkbcXEL 1J9ajicZqms6bszoQtocblzektUqltlAnj8SauA37t9IZuA4iuYXbrKmYr5SZuf6KtHYLuSVr tizVucxlqQ27Aflsbu2u7uah7Awebn6ybrwzbsY27sgtwugWbukZTs6jVurbrx77u7iZgpxr u6obhaF4vA/Lsy+Lk+rThnNpsggbPsXrtYPJuxALstfLTDdksnP7tob6ovuKvP/6sTELsOQ7 s3oLlDYLpjHAnO2rtcELbobUj+ZLuWj7nK+rs9Qr/r5AC5oh8r+GW71GS7E/qrMGjLVNO7ii SLkRGroriiMLU7C7ASEJOhKSF4qBCga7yKS7XuS7sji7eeS7kCgMGuq7Yd7LNZCo4qPLBjrLVf 269Ua7f11p5tuMIL3MLGmBMtO7vMC711O7y9asRY6LoOu8HtYC7yZpJ68obXygLL1aL/g673K e8TBewNaa2VEqIEBCrv+qgJanMYqALGp2ZnkS2eAlYtjjIPr668PoMZozMZk2pm7J43VFsfo 65w4u8FpfMd5TLlt3H2uCccIEcgVOsgSBACGXMh6nAJ83LTcBsjcK5QoCMmSAd1p3LsLkMg4 ILOZTAtyHIednLOf3MoP/1DJ1Oy2pyrkm8xvq7yyrtzKOUvKpvyOrWR3qkzHrJzLkhy2KRjL TTjL5TXHgTnxGzC1jKmDyOSpXKnCzEzMvSsBuPmF2NtqbNhEKhrMzZzNz1y1S5qX3HnK 4hybbXrLkUzMDwDNLRi87PxezQqiPOczyQiDP84zO3v2GyxbO+OzOOUqp/GzIuUzPqJsNTtDO UDehlNqxePz3DB28f9zIwpoBE13GyFvRa3zRb5zRYpx3HVOAFFIhwy7hrnQ4LRkhFjS1OyZ KV3RUTyf2AvHqOzIwvzReLzGjfu7G+DSVDzQR1BOtSzIrPzTQM2v3byaGLOZSoXPY/yiiwvK /iozOMTiT5xlMdxLazTuLxq3clKOBx4qBcRyzOHMdfcMlbrslGgtzUVNzPAtAB3tya5M lsZsyWlNtl59lycNu/HazCydg3+dzMZdOBF9OB5tz+fcwUPdgnSt2AfN2Hjt2CjtOwvtsild zlNs2QR9iAaNABPtO4VczABN2cwk2kwgZPms2RQ9yYe82uqsXlSjzPJNO6itAoYMsT7rOn48 tCAUndZopA2rAyoAAiEQAs793cXA3GscsRPbw+11q2IcmUqt3MwN3v8t3Twb9UtzX6MNnKs 3basya3t3DDv3SAw3eKNj2ntc9h93jM9yJBMA/oN3eBN3fItzT7H/gNos8zojYP3W9jGneflt 3d/xbQtzruoCzgQccClclgFNhxc7qreAJLsnwPdS7r+BNMOGAYuFKjeDtreAW7d8ODuAQPUAu 10sXjt+SrOH6bdEdbLOP71wDfoEFjuEzTuM2/tznsWVcgLuFHknXobdUmruFBjtlqE3uJGfk+M FePmTOMwOOQBrTpQbga8F5ZF9E1nt9ArtpCTq1bXgRd7nSNHbOy/gBWjuWg3Y4RzuVefoqZ HbOH7ttupub//NnWXd5RIuV3jtzg+gAg8AAlwOe2na4yKWSCzflV43q/LDQIflflUg1TUZOft3m LZEuTejcvd6JHupwzr+a/tpyDOPHVQHJ/j3p3p3ohG4Ci66pgEWrIm7c6d3drd7fZV5XgE7fl AknlCJ7r7x3ekO3qvY7mXj7lJa7nCu7eHf7fTl4XIV7flUAfSfl2ZpCS7gHi4+gDXflyK7mg+7) e37i1/7KKj7fsDXt4A7piVv12N7e1h4DOM7iAUDrlD7oqi7pP87kZO7hV3jmRJDxij/4B)cf7p 7l7jhx7r/C7jgW7rl7J7vBs/eCl7Mv5vO3lrkdL7UBO/prN7qOl7KWS7WOPTSaB7XUO7dOr3O XOnt9WrfD7/qJ8/fwO7dWX7sRMs8nJwC+2rwNNDzPu/ZOT3ZBSflfiLkwoGavOG/L5czqP9/O QT/dQ+fgI7sw/pKB9Nyr9G1eAk3/80/PS1EVWQSgflFUfCZWS7hrU9P399SMb9bR881e/SW2U 4S+g3z3f9aMs32uvnEefKW+PzWKe4HOf4Hav9h+U9OWQt8yZflX/g9/UU34Ef8VCP94Xf9kMQ t2qjAYqfwXGv4I9f7itL+Fdo4+DrkcoOUiow/7o7P732egvU2+RU2uS5g57asB1XO+aoPOE/p +kdNooHTwnBf+4B/+zae5OBfl+VtLoKdY9psf/CiOScQv+lFg+XaeisG4/Kflf/KSfSOa/+7HP usGlosrd+DDQ+SWA5Y5IgHEB+90/8eflP9MW/8EP8U11a9KRS9CjV/SflQ/t3d8ZBA/gOdf+VA 8HhI3BOK5YL.7aDyemwgQ1Q1JEt6ZGYPuYUoWFTgUC1Wh1Mv2WFg41hWNSwHRCp9HqVYC5Wche SXjsTLBlcjcjI4sThuqenipDgDlzIcMjQO+EYoIIkEzQrESMZcgkaXHOESVn5oPYr49IKJCZZBNE RWfBDVHx.hMClse5OxoVgUoBPU2ItTfnLbLb2NIcUUQ2DXZSbHFFX4JIv1+AHICQTntJU1W7Lkg OjGOwGOGbgp4O2sr5VtoHKBCYBfZONarx8ydNGgJsWL15OJBvHT5kQgcbYVYOXLRjCegu/ ANIHUYOQQWEHWsP262BCeWw11SGnT6KhIxV5XcNIT2GX/o5iNpOZV6jIxn2JcIWTxrMqJIjGJ6x OMAAemiUhppFp+S4gXP1T1ixZoESSsqmOyouPcDVqXQrJ2e2cEV1RNVOCCSaVmD4gEDflH1gQ evTl2wPCOYAI3N7gIVaupFLBvLs4nv376BaXga/EHBcbJOQiCetX7iXK3EWaESWTNky2XQI MGuOEOBwHRGJieOJjWzOvheSAQtWzTozidexp8z+XOx2PnIvmDOfTflO1NOCUYXtWjBZfSUbb mVWm9bu18Oreaytazv7cu7M1YUDH3y4WB4BItRGOHgB7hLq1OccsmCC1cKLT7YQ6KNLj/sm yE853daflSKQiVrsAvvGm4CAX/bLOsyAVIfZzSL+QDGG4QUqIk4KD+epbQYEPOHQ)4BOOe9G9E JDLTgLVdSwmA5ze5A9EYsgUQkcLURxRxbvsqAAOWQMOS1QiFzEMEdSPE/DFVFi61kgOYBE SiSK5MzKJLU867EygITwAR2GFJPKzuq4MoIs7OJzrx5mT1dM9CQkb8wY5i8tQyS13gkyy5miU LokVmkjUOvvwRJS3wEJyc4IpHxUUrdpAw2e/OnjrzTsViCiARAoPDGKK6+zrUnczIFgt9N8 A9CC6CTjtFVa2MsPd36qpXU6NSxOdHXeAWAzizRc1LN7fxC7TvpbMMtgMOjnNPPOYJ1bDw1j BypP/1sdsSwUzS6bG5bN96hbt11OWQoERO6EsnaC11111tD1UJOT6eeyVTXH3E898X5KfVL USFRVa8feNN+NAyTPsLAhrfHCVi+aywO98ORa3OnDDdOjIuhO9U2OJRqR1YUzJ1s6IsBTAw IIUNKo6sgw4G+LnnyUq1ZYMUDMCB1BvgioQYA/jYiTSefQa6A6GjK/poEXapoaBHn1F6MAidh aLWHnn8eIOjerjYaBSOJqcEsKb4uJmxZQZwa7arVrbbrtreO2w6af6lbteOaODXVq/11fl2224 lxYobLElqP/zwflnzjZu2s/37sCptZkbw5yg/fDgZcnum7ccCpuKGGYVZJ/oHvOSannHSBiWZ8 851bPyHyhh7Th/bR.G44Q9dy1gITmExTAwemwfQd+WNEbqD1CC1K4wO+3AQemc+Yt2CCTbffR9 oYaB+eDaGO9sBxo3a3GWed/xiNVubKN78By4OsHk4m2j8eYe/zXt3CwB+fUU5/GYsSEb4i B6W5Dy1ui98Xcna5yp1Pf8xYoAQayIh4PcAeznamJ/KJzjmWEoKbO1gKAM5AgBP818h6 JroM1u47HLzemFwoEat4QIQyTJPUzpZEDfLPLT3OGuRuPsIZEpFqz/HEf6yXxAcCJcImfe2Jf zBbF3kTpdppzR9e49yo+SB3pKlVYxO3NlPpftAAGFifEoHRusG5QnzbwVvaArM2K3GwjiL8 HDJiND7p6a2Pi8uaAwEZQuWNEHx2mxz+mpPIO+FujI2EYRCdqALZhQ6BVWNP5rLHNU3CsJOB qN8Jz8cc1xwAcXTIflUC+UghqpKLOqtdOIggy/9FoZYSTCUZoGg+6qUPCaXcniOFqbMt1m2P euMHEosOyzowE5I1hGYREVkZai7i14F7XxQdOUQuPJitNxz2gh4IwjiTxsYQMTmcEXzzYCerax LOOLwQYooohHnaidg4vBPMtWz3sCLZ+p2Wc/BXCACJSLCpGimzw9PJO+3G8A9hwBPriugT36y w6FHwtBzvcHaFOzt/nAHRVtCv7NQkBosoGDDRAVFp9H7Gc2jDA3piTAUADbIewqTSu+BKO6rQ jwpkp4MiqTGcK1QUFrW1R200TBNzgMXEs51OFR6EajEBqSZVbnKpTz2Y6sn1aPVBIvKqTqk6 14OANR8WSaW9zeEUFWAqQZzWMSIGEx1VP5UNrXYMipqmKVEUHeGdfB1pAA3NATEyPQ5TTt 2kHEokexCrnEvx57wp/ZE3HGpGxhCBPTxG7Er218bNkEm9KzTe+Ile2fzHqFWdQ2NhD2ul8D JIvA3byyqz2EKJOyCO/ckoGeNTUE21y5QKgAilMpukEEistYguINtIgTpRpM9dv4XchA/tcx 7nUNulFKYu47aO3ETh7KU4l6g7yfVaneuKsDlwpkU+aqjDxlZdGCyte8RClVETaABKQ6wbSY 5S9Ny8vRBYxnaqfVAlNpWtMA49So/fzuvaiL2pi+8oLSE3CGXzpcCY/XsboVsWE/S+K8EiDC t1VIatNOUbTCiqv2/apeT2zdGv1+XrqO972ET3OEZH9e/2M3uVpO7kxcXuboODg1UcMzpfwnoX rHbosZSR+9BqXzihIvGukQAqViwcOb5fdrBCLUsc5lVCuAxe4xAJqPLURyAflPezafleatWqnw5 sChfu8AF7kHnGFnUznroOM5+hqoJ8VcbdXblbMoOF6aNZmVNF4/uaOn9uEHKL4EHKu/jBp/nvn Fih6O5Z59FSAKWg5jlo31GvEqEFB6lTTYtUmkdtVJv3qrM4a2LbGYKNzHTcRpKIXcAXX4YIN bOOSu9OY+XTggDgJUf+62S1AYA9waRpouO3XlJZEi3wNjrMyO9tpFVgbKOBpVi8RzoZSTmDR 3Wxli3lcOz5FqAlllljzNtvaZrKYKTBocIdlHgjJwLUfO1lZz1oGzh54ZQe9iHAnXHkrMzRy OyDYgPf2ygW/AThOgnGK+bvtJEbf36Ljd5IoDGpgpOEmUT2jqWsB6rWAKyss961dOjzJzjnwV2 rfeMwdEagedOKLnMNV7nz+oZ2BvN/l9H/eFoNyQ9OscWhgaAjuinZ7q3fVZltJO2dGRb+9Ub 9zqmwQ4OfvAyQIRZwhjNThaOKzvobEolQv2M9JEzMuZHWXi5Qax3Pd/a6tf7eB9B+PO7KPvc DYD44fk+9nEBvvHbSBi2g13OlXI635kMvOabnJcdWBnzboHd3L+hgBtJz/OErr7HlV3+RzEfw 9Ws3tewJ+219M73fUO4O1AWO4ybXvu64037e79x24x084r93/PJ1n2nPix36I9/EOwJ9FeXr xOmGX3T1cX31xV+cNiuY8ReE/3OGvB/+DLg+VIrMTOdxTVAJWKr8xFH9+MN//ryj/hJBM2og ABIAmN7r/owkQHwKirdk4P/eLwA9YQBtoAAPEJjO76dcgRwO6M4YoAX+bw3BoAIvEAGjILzu cBnobffgLwPMsARJwABPEADkogZUcNkkb9bebwfarHzEjgRjyE5kEANROKcQZJByMODJcT7KY SWCFkACJkAYzOHJW8N9OEPUqhSsoEAOtUAqlQAEJJ/IcDue2iguPygTBkKT6ioLGkAzvjYGG aAYTcP/YjwxtKz8PJcYSEzS8BESIABusHeEL/ZcEATLcAB5aLaKZMJAsQYORLM4BLESLeB8 MWVFt8jQ3vsyLfkyM8EqpjzTNiETNyWOPR6ANO9TRCkH25ZOMUWOO3qKfOYQQI1PNISZObdK zazLL+rPqfyO1kTL18Q/ifJcOyYkV9SKODPci3PkgcdINgOMzDwbRQOAMGObLqgEmekOkEH 8/OKM9jYsurMOHnOOA6rG8i6ZOgWXS7VBS1C4EZO71NBYM1DhXCiOHAn4ZRRZa7/O4B6B 8OFbCOrUzcvsz8hDEihUjWD83OflB3FDb1UU7OSOOhdcP1kOPJrBKYM9um YE1hMzp1Bkv3U1RAkwxRMO1M6SUFEDJ9EPPMjRRdixOtjszfN8O7d9DshNETfIThdeM8OSiSOO9 /ms2HY8LBqr9RsBIRwBXcVUtNWoI7WsdDq5VPOUcZjUaCBPWMZVXdXVKeZX+YUBRGaRSIu7G7h ayYrUB54HUfYo8E/jVBZuXVdpQ1fN3PCXGSU4rXe/tTh/3Vg1ferSRY2JMRcG/Zh /1XiJJZdDzamSqqQJLIFNpZjR5FPUtVgMZbZY3CGYLTZYFJG56CiJARGZlXMF7ZfRGZi afY1oSID2pUDgmHSXpYGTiqjD1FmgdZm32DUCVbr1+MV8MiOESfVfl/1F2HIWWCaSW9kMR 1pCXp12a6E2TIv2a1OAVmVZ1mAXpd1dEpHtS5VBOJ1bdVW6461ZE12SiRGaCRMzMNKu cSVbyVVWm8VVX2WZ1tuCGIAbTOgZONgGZLAHVTWWBk3V92TdP7WRh7FCItWXlUEWGUVC5Xl /aQuc34q4OI6yN9b1NyQ2qOP2W9QW9162X5eWbDSXdWVQC1O3bRE3BRGQGSlblM yE+2+DSIBMmXaOG3doNXWbX2fif2fC8X/flX593ad9ZVt91e7NOE173T)13brlTtI6lt5N+ eH/zCid12MpJL8gYZOUZBip8gPfltQWLriSOOB4SGGABA2BtFGJM2IQLGIXbUoVX gIU9WBflpbkiLkYYr4IQ3KoThcIThPOU1gUU+ZZflJZ4SZt4SF2IaJGIeNWIeRGABcXHKaUN6g p+fmdIyx2I992NzVGbpd6veuDV2+JC16D5fWHWCeX35UWI+6OjVdtB2OI5flb2GMRflGGMKiY2 ufF6mIkn2WcY/1ng4PMr3IGTQ+iMw+aT1ZeVGRXkmYtFWZd1OdaaW4dZhlMG8BXZO2YxLkP3+YG O3mcQzibZ9iLpvhcR9mb+5AJYJkVGIKZV7GCg3iID/We3UKfW4cSbvEB/nmehlg3FOi4rLlF zsif6/KJcTWKGbqIHzqQYflg4zUf1FflqKkKAQWiYZ1WVPKLCF6Dfl1PRVqTddgJShqe1/OZN3a1 i7ild5iXTXo9K7ppmfAlq/im2zmnYxqIvRidB7k32oSPhfqD+/1DK3OHLrqAW5kZ/hZZ1LO4 qXW6qC2ajdvBTJGJIK6ol85huPZnLVajd1kflW9EqF1DHrLF5P+WZq1W6HW3aW6kkflG9Q/CgO SGzyXHMYsLV1LcWOL4nyGjovna6/w6qgbKeUNAk7MQO7B+roVzBBEfO6PBVbSQW7MiU7 NikbsedxppaDup/aSYUYshSySAVQJgKIBGOTXEKTsWN7tUHbaCgbq1XySWCb1B/Wtge7qFPb Hzn3ikLPUt23Zb4W7Moi7feZ4QzAbeMjH3clmZtSfbtbEhkjGWlKj7t7cZ5ObJUQB7kkNDBUy7 ui+ZFD7u9/sspW34OIz1EVZ2OgxUwxAEYq7slGhO32b/gE29pyub6Dtg91UGnqiEd6+6zu OMAB1r738L796R2gALb3uguU17uV27otp71xpVHOe7cTG/yQK9PnW5SpOb5zewnggQQ3dK1 UrP/e76drbmWAMK8MADiC5sQLELirGj+JZTndcx8WbO4YXe7MdO6UZ2b7hZDMOW8frWmO 3MeTPLU9e8BtVh/3G4Zi28jpTB1Pu7Yv+rTh1OSppMUr4fG/Z+fMrLVLflP/FHSVMtfHL7F PLVm7lLgC8BhcSVssczHLWFmcz3nLjnwM5fMSR3KJY7GB75HLUL+89FflMP9hrFllrOPEbfX u73VvMat3coBe5gje7gjncg9/n3Rq/vqx/yxQ3DAO5y99TvPPx3P33ywj6gNrkeOUb3Sa93R DROacHrSX5zOYnzQg/uzSz3WidzAHrFGuwAHueA1UWSb25dCBPBUAKNdEDSODZCYDakXZa pbqNWRvbv3LbUZESOjTcq3zcvzj Zrz3bO5llvBOHFHvfQP3d6Tne+fzc3/ILHbE2LjxjgW2u qb3cCfvfM/MLm93enaaOezaQO7vazX3e59BTolJ5Udp6Kl7hLX4DaSMl2TXPOT5rrd3fQR4B 34u7J1FPNfySpOfeOXOGUWA6z7tnVc7EiTMNakH1bV4U4Tti21o3qReX4CUeVOSKXIflAbG/GXbW HAflA/ktYwOcWBrrKsNJ9EOc+4qOTuJeb1BM4LZkAA1HX2Zd+pm+5Z1P+6iE+6673L1+Xk+N 6ocg2zWg5h3+29sdlGH+qFuZbuOT4e++7dk9sBWdqBVWOCFecbC+29GTOMC98394KVemgm flQ+QHzNghOQp8v98uHd77dWXOAH/MAZzhf2j+f37Q9CCS9NP2D1Kf1VeftQWcI6fBDSQ QvddV/vd54OGunAf2gV/pHRWfl1Ma31H+9wHeCUif7N2+8/UU5Od5SAXW9Xde25d+BIdE9ilcf mj1+uLEf651d46N/h1X/ZW/DZIp+zH/+Qm/+69cW+Ve5Vk81WFe+8JCf/V4Nf/Z7H+WhEWgU OApdgubIoEaSYA2pAO5VYflW6W1kDMdUV/mc2C1OHQZbO9Gg11a6Qt2mAECk8AgXflVAPlYrV cnFfY2VnaWttaUDBUFJAADRZOPCRMVEUMjAAKDhKSyYWMILLFLMdRDWZflBThQ4lXYYlPL dn6C7YSO1uqcMgqoskpqZGAXfZpcm5fuqW8aqZOgaVJiTdTDPdIWEZQLt/iiU2STVtWC2NL HmQ8WUo8w8NDSOtHcNkOebJ/6mUgYgRIBtSbZFq1LVHj4WD1k8K9cLoLVHA7XBQqZDHj17 +Io8DAmRBTRR/qgBU3fRqwYEGLp9S/NiAEOQ/iJFtUg3ddO1FCrUsDQ1flaOK8GTOZ2bZBBGOD k+hS9rwT9CVCFUY95hOk1TBi9g/IMA1dXPqTCLdqZ5CNBSfPZ6ZHSgYUI1DVFdFK1OPC jzuUgiiiLQwt5XGKYswMug6sa6gpTOou3bcO3Nj93KyKULbI5FdpViMaa9GYFrm69gqUGpyIk ggY1kn7cWvbFiNQw5BLOW4dxg/g7lI13XbXwir11Ig44ZDFWZbaafd1aPC5YA3HUtXrVPNNZ fZgqE6Y+ATGGDJwbT3IHmZsz77hOnS6CmbX5D4XbGYSJCVY46ONKiiIfCOflNCZ9fl7XAVIflYYN jpOeROeMR6B9djD3/k4yRflXflZCAAOVVLeQVS+NOSZ)HkXkQ6flUPRYUh1NCJ7gIROokk7ic drWOplVpawHoVYoBLSdiMi/6x1Zp+JJOwo814tfikDg2KO1tXOhgYpO2GhhCDflUWYEi8YV2 wIRN3tifiRs++A9PR5CppXNc/pCmSSpBCUB6UBYPZYdAZflIG4eWSdO1OYPmoHI+ tXi1aZBtGOMQqqKqF15TXUPV2N51BODiF5a3YEBtUPAIJ17NoEzcvkEa9mY/iwt pNU2)JssOZ3pF5DYXB2vdFe5er4r2F2A1ECataUVh591L4UrVOW4tTC)GrrVJZCcxL rsBb7Vflcj6uP5FqrMVVKm2NDDVBtboOGg6VVQm4Pg6XKFffVAZPMBIKKMiQFO86bKVxaeYUXTH GzOeioaUcrstSljkY7DBsDO1oNT8MwUSGigqBU/2UG6UaOPkM9MirkwaON2GmetLC+NNZta g34Lt8xei7KtOpvZ12fgjfl++VjK15yflmt7DmSIeU4NeX/gPdZUP6+V2tXa7Drbeu 6K1ww554v1V1YnUoy+6Op9NqjcLX6+TVUeqd1rWpLVq9y7SrWyhGYAXd/O+IlBDV IhI/MvTteO/RQobozuYP7rjzL5uFEKKySSkSvrjhvo42xdrvKUaS1XCs44/5I88QLgVGSD Dy/caxeo6dbfttG+qzxMWb8yDdSQ9jzANdBUGoOPtmhOnQgwJlQki4OINcYUUsYjf77RjVig dDKaaUtAdPFWv4DSkhp2TTrxEQ99fpcrPzFVZtP5C3OQybdiU5RtMOhEZUQPfla8qY TtecoiOjJsfqnyMifldU23akvEaLe/V1Kh7m3he5NfiflNd1jWKSZJZmJOB1XdVtC6IDKPR82a X+TiVnSMwwjVIM3Wg3te45qzo4qA/oVnjI5sVOTJJEHe8wqb46IMKQkOV91iHjZ/U4Id7 AMcfnlkGpQpgBDedwAzAcco1NOEWUWB1F1z5npIcYpbVsCUrU11CJPmSi1YH4ZSicNQhaNqIG y8mDLrHoh14u8xnA1OUzhynNxjheVLgiZJJWDC3OCTNON3QNYAJ1+IF/5CrHqZT 1ivJ5Sr1cUOtjGZD9XRmLdvJv1UqoWM16sLMHALLBqRTEQU1iW+FEk9eWkhVO23KOiWQZ29m h4GhwSZD/hsKS5oYpv1iiQMx1ZBKi4awKSazyXs46Ew2aCaaOzQPX3p1r12I1d1EfdCWW3NmE CzowWSN5SDM7mk8ShMCo1YhpBpVSUMFEFJoZOCCq+blLFmaMOKeBylBlekqgeFWeV8icDQlG xXyVIDnSHEZF36FWZTJtJiCBFU31aikuhfDWZJAUUePg3IKXNM6OY9aU2rxOeJ1qXmGmVQEIH e85YwgWyZ3SpYqlcD7y+CqDPpE8RQPfOwM4ZJ9kUaFPXGUO4flVaUVUXKY9Hp2O1UCS7OCRBQQE gSVadb42tBdc7GrjzxXB3FSiZpXscCvL28ueIaVxDZpw7UrCkrLWtrNCKSWi/srZ5u6Wsdnl LEGjaVrd/1O8gfqtcudKodheN7StLe9OIZEDPiJBgBTbYWWKOYWDi8UO7a1gALW2WgiLMAAAA yMdwm3cDWR3gv+EFdDQErMCL8LACFYvg1OPXf7618JkSDCGD8flhGiR4WQ3O74MZJUHOiVi/ BTK+aY1PnGIpTvXEybzHf68kbE3Ucs2/flJFIRNiB2gWUEUDacflUPGQG129eYZIJ)CSCW6 OPZYWDOOW41Ucs1OyVdNC4G3agQAoKDDXXhWAO11/i69+bkDSqKXOA/SgQRHOSeUDqFCL23V LT1wyvQARFIOo9PRYepJcZZwbj85BnkThT3u+OWSjrtvbdU6mJ1bjVYqOXfY4PEYEOiM 6AW3Wax7ficOLadZR6e4wySA6YvXqoX1BXswzOZrfbIt6qHWeMKK/q+4ddjEPXOZCbE+BYPR HMxrF6jQ8u6lQn6BViC/YdCllTeyBavkeqO6zrcmOK+2rO4YOQrgZr7Zq/k97TCCOeHTKLa5 i9zwbvsb4W6RZbMFDmVtF/ziJ9KuYRZgKJCpCGUUfp7fqJG4DmMO75d4UMBJt7UkbKNiVHPf2 zoHaFvQAVSHrrFi/7v/qNP/ORAIcAPABE2xgAOAQOgY1bVjkEiEKABcHSW9A2Y4A WAEEpP5Sq2Nd61z3enfArguxJc93saFc72O/eYKrDPetb7/rXsRt2flYy97GdP+9rb3flGqY+Dq gp87rABhdwfgxfr7b7zfawB4yfMyBflcge6zgbpi7lz7vi+e74wv9+bgPnU41YiZJUD+iXOUd 8X3/Bt+rDvq1EL7uQLU9L3C/es6zOSiB1zvh7WF57Dh19ZrXfet1XT8K5cD2ZflKoPTEVULTh XgKb3z2Orx+PcR31+VohiEeTZPwNWIDInYdSN7O/APQ7fWUXV2rxBYS+XpsHvHXY51mA/eGf /sB4wuHliJ3ys2qe5XtT3/kFzKw5VPv13/SxHgRGWe8FHgVWCO1YYG1MyftPn7F5nu/E Hta5zAgyS9Lc3/Gn/VPgApOXvANkFIV1sEcnwRQQPWbH4e12QWSIA4+H631kMrIXQ8mRVUN oEn/bVneG9YBLxxhK+2+P5XgFSIOiX/eFQr5coQ82kX1E4PI9gOiFYHvsn/1hId/1G5G9 3glyinBg3ulhIcmYoPwBnRzaIPN5YTSO4e2p3vg5oQf+3twVngZlgRltJX+7JnxYunxSyIRU6 YuXwICQGoR900iJOYQISXwPOAASMIROWxyGmYCcaof7hYeaZnSni/twA/iIflfiEhEJ8eFiIA xqEsqqIXsiIo5uEo5uIG9qHQzSEgFh4wuqIMouIxOuIvgEjMmOrzaAIEMAJwNOsgIBgjtJCZ FGA8aqM3gPh4SM5ogM/qqOCacA/XqPVWYA2Cs8mGORfl3uM4IoI+MqQ/ukBEXh1FzuNF2uOI aaQacKTaoDAsEDfmRAmoBIr1UDkcnmQJpKQCrCTvvSQBbp2VWaT+1Z5N5uNCqmQ/B11Z wIMYgE93uFBOqI4Qh5V5OROOmSO1B9B/o6kYHwjUqkOR41Sz51c1dVfA62VLT36jQ2RkUcYA BZzjhDgkR75ABpR1aGFU5akYNxkObr1B9SHWMo13Afl4WiiSQV26kUWYAOt4AT4KkCTy1qxDm COJDQh4mWOOkASwmAERZOzYmPPRUW1IWbPYgiSbr1ZbKkCPxEZxJkZLZVV+DGy1imVW6mDIink PJ61Ga7oL4oinO5L1RGr1WRqkW4ininDjFhYiJ1S/5jUJTllhVkPY6BaxonYiSinBwBinTwrk YAondIbjKLwinOlAniACAcinJnTF7CZ9Ikd66lQtLFWx7BeLqkajonDfiYcE4GRpokW+5jWEYV eaqnbTalasGZ/kjk51fup2165H8+5xOO5Zy9BWnGZnLG51IGZ1PWJHzo5WN1R18iKHwGZkhW aFDipWHSgNJQ5wriYR4JS6Hxu54b2Jlsep3j654oCqIh25YsaaNpll3i5WnkypYOeJI5W5oEq Zn+yo4+GKFoGSXoOaUd6qDXS6ILeKJNCKJFKKASAzpF5Yi95I+aNmcHglggE2ljwAHx1qmo ipYGH5fqn5f+F5gKO5iWmHKUaUtiqQVBWH9t6be1GT3CaeKNKZ2aICCO8xI7dX9ENBJtGqZ+a QZgGakXUKQEcaYtEWBqUKUD16Zc2apw+qjBE6qQek56OXqLyKeahzZtUKqDOKaQO/qqlqcfld Keqis1sLDICjrqqn8uhPuKqeBh+DvOuiaipNcOqtrkKkYgqvaomsKJcq+imt4UIDPCPVfOOQ 2oBBwGqyLmpO/CkMyO14QMUNfKpjwBQIqlGXMinqtDqtinSAsdhOtrVGsFfgT8nKutahVv9KcI gKpd9dcBxiinfTinaqk12nFmuuZiinvQoCp+Gu8EoaqrhOuziYNgRgLLsRMJazPxGDDDuzDq1KV 7Wm8X1W/iinEpequgtiT75KkK7OinvVinzIZkbAMVIAhGuexUPKmuuIxUfikRtntOtjnWC9OYOy YquK1bpkeciff2R5ith+WwLfqqsDu2wNixa2innEoinzz/tWEksOr1JpOq1KqwQLtrPrrflWYS Sc1g4Zq1V5rO5qqwm4LDUAr2e7S2dJSpqIqyOOSqO7trqLtl9YsLr2IlsGYKr2err3tZq OGYtwvouOlLt3AKr39QtGujeWu2OkWJfQVhU8WXVSQhV2hHVeKVDUiED784u9OLvBvBv7JrNa2 97H6lvDiOjIwwzsDzMJAzFOOvLk+oQtB7MOO+8flWZMC24k+FApvzIudzMzg/fl4/HXkJMf KzI1d686P7GKvSRdIgDHJrM6PM+M2FOBhObiSeegSQcRIqe5VM+63M/a24KAHSH5i+D y733SAfl361B7zjB+gOy14OP9yCXgDqmkdQqOiOECZQQZP1KctOP1/SOoH+IOA pCQIOeFyXZuOOa61V3dOQPO1BQaT2POYAe1UX+21e1aSDTlYeY A6NkU6eO9YX1WLuzUrMtncUFad+Oacape1PheflfYOZrf1fbO1ZO/lTwdwXGzol bignXO/LXP92YzP1ZXA1inLgXS91XOBFYNUCYDN1UNeHGUbOSiOMY1d2UjM3ObO2dOU3ZBt2. epfrTJ+OUJ+3WEs1LCdsbY/2Y5e2F43e1b4/O/j6nsW3PxRu4d2TDt34HnB3iH8DDVfPgWHi uZIvORoOeQw8ucCAOWOseQZeSZUUZIpOPtPN7L5RTrQ8TekOXcJJfeQ9k+ZZJcL +TaOO1Vpz5jPeZ2nOZdHGaiSsZPA52LJ3c2QeQBzUfOe12Ob4YR6FPWZErPC1JJOUPU flf+WZqOZhXOpyX/rmS2ONPX7WYojnOQLrGSZmOU3mCW3mZa9qm9aCWBzq7dime81l1I1 W4GfOzqdj7ajezoo7XqetOdhVzcYcTujnzmUq3BFEPGa32BBNjt/LEQiL7qZ+zOa37CaK/Ur Y9l5wnCii2ZTeLUqS7SNqIJDkh3q5A3t1p3tTVHGOP3qdRiqxJcPuvx3qZl3u+aLAp5PUUaSXQ ypu/03vtjuEytsyx63vnX19MHqpdzUWC/dUhSmflC/flEflX+PL/YWZZkS2kU4rzg/ezrzvB e+/kBvqkX524nPupzzqOf3u7W4PJjzuloywSa/yprzy4u7swVPVOW7qJ+fzX9iYHOC7rR/id8 rFB8sd/Bk8topIN92ot93QN6UBO9WaZIf93FV8fl+M793sS9n4t+9hVBJio 5211BflHA3.O/dt58dK1WU1E3+3831O1XV5js+53v+mYc+141+W3c55SVAOWiecflGE5flC+ rbc+6G+A6IQjvs3OwbGyslJTVcEiflNbX2Ie/F6zavdvdDdEwXsMO4NQhOajjZOThuBGTE3QaMLeQ1OR6+G5 Q1auJAcyEzcpoMaQHIOGGUXflZ/t48LAbrIIyS1prhIPdWZCSGxLs2EOY3Uw6ql 14Y3vxRZ5dyW9Ju4H+67kLn9RE67IRUYq7KB8P7YMOfN1FCX/SJO6OIIlOThIQ7x LdWx7gJSHPANr95PW1i6tSYSdE1aOjpyZtX7O+O+CZ61iS4ZOWmOFQqBkrqb9x2kPFIDtlV Gkuophv3SyOxiebDnnoo6I13CW55m7KS5JUfaWJfMdOpPaBVQj+YOX5Vt/O3HHL4ObBC WQCLKQp4nhjYVCZOXWqkQPBBWQOSEQLWYI44jQAQS3j8gsDABlsTyzHsmvQXWa++9+0aE7778 vklAvEjM/grwPBoflNA9+OSjzxTtQNSPv/FIeqIbAdHr6kIDlVWQVW/FGOIISLlYgXr5SKAPEE xQwV5NA+Th2EUEEKsKCQhsokKJA9DBPcEBEOQvDQXXABhELIGSS8OYIDC1YSDSdFg3O9HKQ vkRdaFTyLRPCuCGC7qAklcT8YSrQTBObiuCGLdVokjtHozSjg1zsRB3Ek3YUWaLOjvPODh HP3EQM8dMcnwVvOKhgcFRTSLBOc1EkeG/xyPEzhOZLMG9M51QWfyZBG5WiQTlVMROOV /Xwzclp/KpLIWflXURO1b1vzEz8WVcRNO1ZQ+XREUf+ATHZACIDBpFjNoItfoSNhWLkUq UGzLTAEZDWL41NtWpxCCrLPERFW9SKG6YVO9W3XwXV93pZHWZ+9dUVRddUDqLF1flXRQiYZ4Vl t9KCAfS3IIyOzbLbPAHOMFcwGxUQryI12FYXLQd2FV15iQX5ZNjSzThjgjt2gtx5RVaUNHtf 1dya5Od1+GWBaaU41cr1LTcVGsV+dI/bYZzmTxhjNLm14mUBO6QO24ZQD8MBqlO1ldEOEWH 2VjkEAFs+MrEjgGt8GO5zTXAxsEMMMFoWJygQANEDCWbVKZCBVUUFOdU+6784Zrb7TixC EHAi/GlO5KbbbgLWfkWIdJSGOIJBHeiX7grN/zy/sQ3X7XZZ9UeGW5fAbEC8CWVR4VXZX+V Z3LJJ6984fUOx1zzzdXBvfU/3U6qd9PpFT714mVi/fPkX/cdhEdXA+UU1OiHS2zc3d9csqx P737qFXZCgWdBed/dKdRz39zW8H15Vq34e/+SOfzXyS3hYVGP45BjLg14VZDC92MZge9WXY sGSUznzyo933rNFA2EvdsuL3QT7h7raqa4NGBzf2yij2q1WHBWbMbMXFe9A1bdhNITPdC lWD+QTIscE3DH4AjXPJE1BiYvURBD77fDEZ7Aej/OYPBwFpQiMs4oBDWIVP7AXATGEOBhWSAS C7jBE26bi5oEoQu2yLnG/1FPE4warqDOycB.KXe7MIOQ21RYIVZflF4GfehGZgkAA7 TAcDT6IC/SGayjncxOZj w71E9h3vOW+dymOwXgkmd2RLJWAZds1O6nOgVLZmWcFPZg7VO+H4hOiUqchCkPRT4qK /mA7/1AbRgXaBIKyc5k4OOBcRagmYQAZONjMZkS72ZKC8XKkO2ZETB9aU5Ua9AT2wtfn4JCO j1DhRUK8+jWs1KNO3OzqVK1qCiVHPStVCQWT6d1T7/q8XOYGaXZ52flYCHlROOBtG9xg LImvRa9xlVpal8NyqSIflL2 5pSFrRjxW3x4d8042rPPFaZZT5A8Z)W++13bSeq4NO7 fdAGXqOEJahAWhPWWRCKFIb2eHNV61NWTBPj4AVAeMIjrnCIC4Bhlm64fqFcm7tALOIRS7jE F0aShrv1FxYzGAk8bEYZZjE9fYbirtffNM2+VIJcB6GVhYOC4SHEGBg5DiaSQSZkGJCF FgvoKJRPQOQpG1nML8byj78)XAQoJsrxPMV28HlqkJCTZXyR2Chh+AhQ2J3bNI1FhW1eN85Tk3 2cQo3j5QUy/Be9WUWQOtIZrLOSbkhEB/jmWDYNC4gO5Z9kLj/ZyfASdSDdf2osvyjKQcblm y2HvVs1D/XUiOueIK8PYzLyerp260+1KrOLUPNQ2flWXdHpYYOtVDYfG4XQfrC9O4O5JWfl6OV NWpdV3HT5O6xfLaq6jc7+935/q0EntzvPHM62N1WsEtA1WLIHZdCg+4flXmdZb1AflDQZOi urtWciDWtOm/p51tdXV36/J/NJC8P/Wflf70GfAPA2OZQQEWIwicMQ1YcQYQPbiPZ t7QjLuE1sIt9xmf5tkR1/Z1X8Er4fla7K3YYd7mHmO56tPUa1R4dxPd7cPwZWJ6PPeYF97q ATi93gPOdbi72tU6gAXdVSh5VOCdPYfl/QNfiDHiOG3SCG9gI2UVThbiQ37QoRv3caziYJYf+ 5QpdBLxb31focG7ax7NtwHw2kafzf/z3k6o63DBiak2vnTuoG7/uwO//zqLPX99g1IY /u/I3vkXRBA71S+5qvoxg7J/fjyP//ur8977C//gfYZXVMi Sb3nzX5+2Bu9+ls+/gLaP205 5dzLtskLQN4bQoxLpc1jpAogvA9QQNnsONzwNMjPBeTQ1XTQA2gv7XrA6OZlUWg7l+Er ORHavRIcP1egPQ4sdPOrGONjQc2ljvBUjIL1Lwf+bv6yrPwLOc8xgBOOQCOhQfkzPCFSQCLE vB0rQAOUvO2bP8prwt7bQCYWtDhQUWQhZUQEiPZQC9MtWOiWC4M7PUivhaCNCdU vgcMPCWsQgG4Q5wUQ+YjQzfEQ6sLQtGbWyKSQ+C7WX9kWkFCWZ5SQ0QEVTgUORtgRBT8WOR wPojvagrRC10P+DxCusPzXZKWEOgV.9UZj7uhgguyBT/q4U4AoYyTVSQC2MyxsQ0UHU0VW DAqX7CZYtDpZ3JwEMcbbMEYLABdPEZeNIFXjEXYU4NhdIFQV4C+2OHG28UU6EUyc6gOYG CjhTBAC2mUDGKOcPiMZfjI9gfItoBMcqw0VkjAFZnMbUYx0jIB1NV2JMJvhMdkR1dB6pEac wsdnBIB9RJt+ZMZcXEVs9CjFUCXSIg+EZ+fEeFjMddZSZMZUgkbBrD9adAM1XACLTEWG 1Eh0HDJSSL81Qda9agRW+zdbEiO3EZgZE1v1EYSeIi+U8hrPM1mBHaCPO1SJIbICr+T7K1U FpuEiKR1iL3EdzZLx1vAEf/uTGbiTKhflTJeZQ2XXWkdZTIPyKU7ZIf2S9gFYMSGZKUWY2 rVzIjGxFjhTIaSLIpnTJo2oEt/PHk5TLOCY+U6RIfljRGCjzLjQxKdcPJp9RJqcRM9zNHv7XK pszKsUxIq2xKeqzJe8xHRNDKk1zIrgzIzRzKyVZMmVRG9XtISLLYmRMShRHS+ZLZUQ3iOTM lizNsjTJuJzNqSyiiiAxMl3zLO4xlQ0xfTM3IPLoJTMtWzNd0zO4eTN4m1NUCPN2NTN5ZXO 21SDtqI6DTpWzOrKzFAtSk9E0DFbFZP9DW7UflkPM4iEVGtLfl1flIF9lTP9VSh/3VPJP UAzM/r3ju+EL1/xkz/2OAfgkAP1cb1G8D76JPrCLF0VXhfDQT/dE0P5UOP+kTAC9Ae+WgQGd OHsTUD4AP7Oz4L0xg79UBPtOnaVEdOHRD0aZU0QgYAha9ZWKN0R1MPt/CUJBSQBWlZXZN zwLdSLPrUe5STBsd0vN0OSO1UF0CWtUQAYXRV1UCLV0SNtZY1N0l+SUbYC3ha9PvwOOA QAVFsAa9UQE103OpUc0WxdO1kUUi2NBFdT0XX0bPV0B11ybXd0q4T0OWygPYcPgylUThI 0xyFOmw81Hr8QjUTOrxrUyctOjPdSC/COZZ1S7bLVC4tUD+1+APl8NQUt1/1DY)L4flNdIPVAW TyB2rddoxdV4bdYgDVddd//VZQXN+3dZCJdZAUi2COSbKbSMWrVgTXQEEHTJ4a1 nQl4k9iKDdLzdgv21g2F9UaH4LsIDVmKHd1ONNmTbVBVUNkBrdflWC1mNfSaO1VICC4EdqtFmg pcaX1dmTFVQh4MeINVGg1dGSIwGYvVbeO1qI/kZaia3YmhVI6kqXflY3aflP1a1CGV298Ra3lZJ ouVZpPlalsXZSCPamOXas2lEsFVbp6OBWS3bGViEt6l&keOmkp3bYmVQrqlVtNlbiE3aVZW iyJCv1zQuOVw93axPVa/Aa9yzcnD3cO43cUqTakLVZDOjbpWVXqd3CWbVl1WW3V+VYNdPC 8yzd1Xcg8zBXGh00+0oXbtIXdkIiVbqPWavNRL3CVc0OVdOe1aCI3Q8BPeXFGVb1O3YpRO+ UQ1dAB3d1SXdoMWA5W3b5nXdsZvdBZJeDqVeZm3CWS3a2WVRt5VCVbVY3SWBqIBC8eXe6H2 XR+Ale9rXc3Tlf/nLM39td39fV39Rl3vsF4ModXv5FblqUtYLA94OwSWUpbBAI4AA8tXdbF AQwuXFjszwNQUBfIM6ALAEEw2AVTgAvOYATd4BPoYHwEYXATYTcVN7CkSRQ2YQHgYA924XqD 4d+dYWqkxhS+41XO4XULYWmc4F863h9e4ujDYXz8tqJVuCOm4BWvYBtY4h+OPpwi4c3VtSmu YBOO2AzO41N9g+rqYim+USq24g2G4cDe4icl4hf+4ioO4ZbWY+AA9OYfleYTpm4zYOYif+ 4D7uT+24OC24UHWYUP22Do+YTdW5cHm4y5mNxhGYi2mXjsW5EJcm5EpOYyR+ZCzG4OUu/uQi O+QTZuI85mIOtg9UMaVoBTZeUodmU1BmGlIJuUV3mNP7uL/GuFQBURYXmVKbmXf2UthjmQV ZuFeruVLrs8ZTtR1pmUItuVg9uEf5mRmZuRvuVHFmMsbUJO5uYWe+VNTjc4buzqvuQlRuRh XoGxWcrBeV2inVtV1B3MOVy9uZk1uVt/jfRs+Z6bmV1JmZ5r1F6xmWC9mdqnz1IeBVuhNJ+uRt 1udaY2eI1iaDJucpi9obJQEqrmIBCOkb5mcnjQCdpeiNPmYN+GiRDukVIGkFPelKbjOO7tn6 bOmRXuGSlumZprSa9ugkluIFe2mdxmfKQ+1a1+2meAnlmbbokD/tjpoS5pdvvpj9Zil+7PseXp T+YBqvZQkA5pcX7qml7qnuZqcepolm5pohzrkybrre7ql8bptYbqGUBqj4Pr77qom7rupZq rz7rk1rkZ7zse7rssZuYZpvrZzmgbsneyOvM5pttbqVoZrodbryXbrynZSWc7DDFBSyq5l zFZrONZsOeZsrO7svQ5tCJ5IlI5r015t067ihw3s1I7tzDbstxYnjxU3lc5txp5qzpZhqybs xfZrs64BtL7tpl5pug7uvlZu24btwcYpqDjuw37tyJ5rM55thx7twQZtWYXu5F5uSsZsugZo ISzvGd7uOtbtzZZuoD5vyXBuBAZv/VQUbPLG7/rWb6luhBeQ7p7l6AN4aqeN6Q+G7/SWYQEfl AQI3CAJAcO/e7ACPADhwBAKHCA1X8Oyu8Ah/7G1yBAg3aaON7qRmBBSd8AyfJpCW6Q+G4V/+ aw9X8QIX8QO38btG8Q9IcBt38Qk/7PflH8BO/CB/fl8NOOCh4fl8hpICBWH8AZP8hFf8h+VZt5D agzvcsk3cgp/aitxcib/7xy38iGP8i8Hc+ENlcWOV8iY/cY4f8XS3CZZPCSEPBYXfCX1VCZOV czAXqSrHcyzX8xhfXTT/8yn/71I1P1TIhZkndCOHCUU+KhbP8O3HaLbGChbf3iC38ZUXCX7PakBf 8EEn8jeIfvSmzPQd73IyRz87n3Q/931)R7OZSp3FIX3Qq13FYV3Q7d+1PP3VZI{/QA5LdaZ/Vd n3UG9wD1jgCTrgEpb3VDZ3BkN/ZjT/ZgP21mL/Zi94APVnZJ571pt/BnNyNsH3Wz3nZjR3Zo X/MTF/duD4Bvd/VwD/BmH3dkv/ZoF3Z3p3Zyl3dzZ3FQV3dlnfdlr3dfl5/d1X29tB3h4L3c4 P3eDT/eBD+iCJ/eAj/d+z/fC3neTh3ige/h3Z3h/Z3Z1X3iE73hW13h7V3iRZ3eS)3iET/in a3eIP3h8Z/k2yzqLX3mW/2sRfOOSt/rflEXf16N+OQp3jh3VC3iHmZ9/1X7/aS/it5gv/4pA95 9d7smjf6m3f5jQ96mR6kDd5oUf6q+f6rPf6flaf6OO2AZp4BbVd3ykN7HtflXrE8ESOf7tO93 nf7tx+KuEd7taf7urb7t8+BvJ/7te/7Uz+FWN/7WW/7WSf7SXd8UVf8Wgf8Xkf8X/f7SD/B va/8xZd8uaf8ut9BzFd7zY/800d7yL97ztf7zP98Op/BlSfBlu/81z/9Vy/9XLf8Sfld9OWd9 1LE9Oe993Td93L953+f92g/+2Wdgrqb52R/+flSEBSUZ+2Fd9tZdV2Ad+2d/SGQgB54fZ1HdB 47985p/9489+4Vd+85d+7Kf+B59+8L/+XTE8BJj/cuGPfBcn//oHffyP/OnD//wnESBIcBOA oVGITCqXY9xQYIXKPOXnk4rNVp9ErTdqHX7HyjCUjN5eO2hZ1Z12W8flY+bdUl+LZ2Dl/6VCH xiXYR1gIeIg4uLbI5Jbj+KgomRRYqSaG8Um5mXflmBXSJOYOVBAA7

[0024] Secondary+map image data for the zMap demo applet {Base64+encoded GIF image): (filename: world.mmp) R01GOD1hUyAPcAAAAAAAAbQAAmAAA7gAAhAAAxgAAsgAAigAAtQAASwAAoQAAzAAA9wDy AAAA+DXAAAA5gAAFADNAADHAADBAAAA/QC%AACvAAC1AACZAACLAAAAwQAFIgAA7AB7AAAA rQAA2ABTAAA1AAAA8gAAiaaa3gAAtgAAkQaaEwAAvwAA1gAA1wD8aaD2AAAAbwDoAAdgAAAA YAAA8WAAYQAA4gAAAOWBOAAAApgAAPAAAOQAA/AAAUWAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA//+AAP//AP/E4QD//9N pv+53ECAgJubm2zm/+bj///uzsu1IgcdsE6t1v/GjIYM/wC9AL29//8AALn/uUCVyECA gL2Bvr256PsA+/+32wCAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADwAAAAA3AUyAEAI/gChCBxIsKDBgwgTK1zIsKHD hxAjSpxIsaLFixgzatzIsaPHjyBDihxJsqTJkyhTqlzJsqXL1zBjypxJs6bNi1Zy6tzJMyeV nleCchiKlGHPoOd/uhEaJQpRouaRst2pNGjTqO6bMpzKVafSnlivxmnYtawvpwGbPgTDlqzu zKA5zO3s8ExoOIjdlj7D+jTqlMsp7t2IxrOaNjM5zN23Rj247TZJ4sdXdv3pjCeTPrhj 4j2bNHOdee7nz57Bzrp7e+zfw68Sb/nd2eJV7dzI+GreeroTo/e/jPMg8HQz7s ma3OXabaA2dFuWA57nGx4EGItidb5kggJcVVijIHeYkaWYXOl99dOF3IJWI4WeWQiibyJy HmnllXVNCZiRV3b542BaEiSGGGx5aSwuuui5JpijijHGin29aYeaTfMOoZptuwjnxl2cmzowa VAxkGJ55vtmZnyPi3WhmhcI5xqGI/qxwoqGx5sgyjOLqZ6BQQHiaXnpmSlloX9YlkpccDgvqo CsrKQqXyWGySFfqbGziwaJsouqyg/ssjNpQN71kqDjiuGlyz6XqvGQSeNpJtNtwxy y7fdR/K8ReDojjl4Ojw3bXjigy6OZ8oAQg6a5DunJaAaalie7uA+zb555/njQUC7dWOtt4 oi5krqsr7rq9sHs++7//EdsY5/aqvqzqcaq/s4y4jfTrx/x6w.pBr6+j8lAELf2Q IxvNlu5BVoazSs1lwqTvMs5sYeFi4J7oLnqB8s5itGLi,AwJRjcxyl7/ey135 ZIAjGcGoMjq2iI/EE+MeAXJc9IBqREcSAc9iMglLbRTsLxrczJyu1ebymqKQ4fJ.1py IYSMr4t/tCj7nudQPHaOkQrB3ug1AsrxuusAMFgKz1iu2NpHszzMvsfvlpmI8zcQkqJ QVKjOnJkSk/cyL8iipGIdfvfHOGpWuv6vbrchcdvyKteg1q2i1IJcfhq2Dl+hSLTGWwfc3s /ixqMXvUxsjWtUfBSHUy41iUVEQ5WAWUY3pbflIt4J7iD5WtXKTId5JKhSTVRSK6Ci61WVXYi Oznucmyri/FU3E1iaVZBgLJJdD6EuJ9qCOa4o4Hz5sdY9FUVbKpWbaqY173VJ.KYbLtIbVUIO uPnFzYKYyxu+OgbA1VisfQXLGwTDd8A32Q11DyzC6yW2J7L973SX4tkJJ2C5hU1ThqkDflAti LGt8Q3wTNzaCUMoInaxmF8RYhYZ/XVhdSKRVm7SMDTB1ScRgt1KDbKeSE2JyNfl21CgRUUQg CzmXBEmykx+2POL4i1VTT1PrHjWZ6/OYIOfltSPEflZZBYiTflIBXGe/fl7202B+IAR4sWJzuBuS ZjXLRZIC11RUC4IhMqXhQPPRb1CMYjEA4/nMtyJIu3TVZcu+edGpBlWRNbqVe5k5VPeU2Lki zSs2GiR11g4zbNtYdHnZOVsHYVKoK5VqfUGarYd83aOHWRflEEWZTtMZXWicm6VSODMiESdh7 cnIkSN6lSFh6l&i9l1JMo2i2PRnSBlf4Zido5hBgWg+i7azBaiOqtEpxnAdmrdr3Eq3eftl2iZf 287dpWo3aDsTpJ11JiOMTSK3d8O9tcYV297SwvfycaLmsUATTxF698A75bgxnVvOOGbPZCL 2rbcxC2/2QzO4iSUvaX2tZGpjnSwg/eO/gBJc54jzrVvVykzJOek2LQKszyE/ncuZ56yYty5e hS4juaYUsIUTklO5j9XPd2St1e+ReDB3zdBvXW1P8a5Eb4eeKFubABVeo/qq3qTcjAflBBLJM 61HAwtUaZ2yetQztt1seAc+OdvHFzIL5i5vbIZZNuBmU41CjWAXrVZiZEy3tNPIm39t+S7+b 3kbThLJA643IatgHJ+uF2fpaRjcebR5jCcEUL/2babD5/4g4qifVAfU6WflBalW9PhZITIE/H O6qR9kFO/kPx/qj9iQKX+4GJc3vrAxpbxk59/sJwCYBh5SYPU75HSCZ9MIIL7KFD1q7IPWbOeHS 71b890//9sMz/Md+MYV+tZRAGgN/NGWAr5RACJiA5DMQdVdLAEbAVcYmPUdTXrcBXXRKnEJB 9eRT9VN3BQF5ISiCID4FZRYagieCiflggbcNdBnF8Jobb4DQQUad77/RUBFFFJreflU9SDEIJVX ptdqBOWDLFhBrdZPDEV8wURqVXeE1Hca71IUBilWFNLiEQ4KFU5hrM7dQU1hRUFgXR/hrX9hH 82SFiERn1Z11KOGWgc9kiRLYFcQlWEOHxsYQJVUxEkEze6gvE1FMtWSIfZiCV2A3/gVOELlO icKFEvJwUw6hQozISbfYSa8OiZVoibXESSn4U5GIgPnERBABiqIIEUWi1LiGfTmUXJBebMY QhGhg6xKa4caEiw7hO1mYigy12WUQ+2BeOiILXThVbS3Og+ERj6ILhThEMvYLB24hRTV U1EIhsdohv2xfahXjQiljfzUjdy4PNuojsEYf+VIjiGGWYLFWRwhYaLFY5d1YrC1Wh9xW5VV j/aoVycRj45Fjx6RjyPBjyQBkAEpkPvIj1XwEQcmHPbIHhkxcJcMBFXDO1ESEFXRPZEQ3GJC101. EqzBAwbf0FkB4BPMZlccBpGiUZEqchj602ESPpkhzx/pL6GMyCZMaUZM2eZMv61HyiFgR mVcZtPEtx1cA11c82ZM4+iV4d4Y6D5WAfoY6C5ZQcxbXr6Fc3AhmAVqEZZU9AmNZWV1cD sVdAYZVeGS11eQVZMRG5kRhVoZZkthZTBhcP24xRUaoigS0WSz1RVNQSEUkWBfdZdH3cZAT EWbK5ZdxxnYvqISG6864pjIBZnF0peTuR2zgV681ZhIgV3TpZnGIh5edpGyCRZVsV1cNpOQ gSGqQ12imWQR4WV4hZrQQZqY2Weu+ZrjFY4Mg1/YwhkOyZuy6VZXcRgRsSLTQV+f2RjgsV9i iZzztZIJC+V+fEo5fB5hZuofikcZYkkhPvTh0pmd9TV13qghf1ki4Sme041xQakhUoFiled h4VNeeF7okUBuZfp1meInI0W3EwHgIUWKGWZtmfeHJcXAPoj1mWgQJIWHqKg8NhjWaJjQ3YQ Y+RdJCTFn5PaXS3YQHJpjBQiiITqhEchkJepjekmiitelkkAhulSVlInpOoYlnomPkNIoZ m6Gbo6kacbrykaGbpPGjuvMph6ZneOaktaMeR9qjoaWlc+lksYHCjl6losin3lMgqlV3obQdqi wV1nQce1eWabbUhyYQoam4EY39h0vakexi1PNdzbvpR5oJr1TIXcAp08gW1EZ0J4IqdIpz dsqf/tWjMJaPoWBReAoFTwH5oWnww6IeeJFR7iqC+HIQya1zFiY1cpoeflxidfAoobXT1U6i onb1oh5aoQJRJskGJmHiI4eBb1nCay+6qiiXipGBCq1bGK3GSZZKiJgZhcKyCq6K6mDX0HKHS 1mO2JC/4YHqSovK2mAqSZOjqZorGaI2GKIQWLolGrEnaKUZ3p9lqFlZapNiKaJNZn9yKrjzE Z4+fyZ1gqImOQaFqOafBqZrz6b2W6p+E6K3niaWVqpnJ6aa0zho86sJ/yJnBII38Kg2hUfXUq IAvba4dKa8KGsF7oOznXh11Aq7RTn0AmdZhaJcrWPQSKbD+zIR3rsREz/1qyKi1Bw7KvSm3a JiQy6lI.XljYpS58wc7MaWjXVlrOAOG4Nmpa+C4LdZjTylqHvtjXnppiz3HEO97RQuyVaC3AV 66p6S9tgrUOCyUwrG/aEilE625hcroNdym/ArSxEa7YES35WrbRZTmzkrZT2zS44jlla7c+ A66O4bbitwOEVdyX1Ajzs+YPm1gX1qq5EyHFfuKVOSCixhrHFQr1neLBJd71VKGuW203g x6Ztehuhq7lRqnSlWzyS+2vLwzCeIhBMSzLZBPqwG7sxJcyBc8nVgdwVYcG2LR35RYDWtWnU1 UzTNJm3C+7V9TyzKLe20yVJu3bK+61aIm4i/pNt7gY1Ttt3VOuf3rNucbeZ0RMWSWMB4xK+ rZoTjrdm4e+pRIF1VeDdRO+hdcF5UGFqnc3OtszemNDpac1hWcyjwu+eFc4oSO4Itd2lUMG IoculydybmcandpAcLxuKtUsRudrdQNGtQo4+BslfEsepaMunotxHsw64CfCizo6s/u3z5KG qpu4pNu6VydO7PM7Kka7YHcehQq8eHHBwIsxgFd2LHN7iOR3jWd+xFPEVGPEKnN3cOM1zPUK cvc1z6u9t6h4cYM1/gO92zt4W2x4QJw1BDx59dt4eDd3PAaXzGUdx36INV+es3TBN68cu1 kkPHeNSfZt6/wt6/jeTd1FwfLDHaPbki378x4ZzjZxbyLfnexVMQ2o8jLIYgw1CyQ5bNwufl GRNMwbV3c4IKK57MQ+I+miEdPXGE/OdOFSurlywnZOsSp2wjBcarTxRMczy2hlPF2Ey9oIBUrs hxxsMdmTdT4sEAYEvdM8Qgj0y5e0QivUPeVTS9b2Spk3xEyi2bXP9MK+IQ2h3zIQd0TtzM TAaCgTG4dtUQOu3IjvOCYzZEHQqOIUxIkXQxIEQ1RYcPUMd+BTRK7oycEOyF34wLb3VIz8 z6pnOEXOjJUsyfHEbND3yUvOhQxde3i8c844jWvEb5nbe3lOOGukfGKFPOD9wmSIOBU9/sNo OIQ63D1NzSyIbkZ0gdvYZyc1qNyxcyQFM3rTIDtr4EXUX8+zULcMCIAj1czOnDfmyNP+Y0AP aM2qGLcIs9D8JdBdDDYm811VC/I4DB10tZfIAbbEFcvRgnSExa/YAv+s7M9NSeNBBiW9bEBIAq SBD0IM4ueLa3bIPb9EONfM43WNKv59c8uNCA3dBfDYxxEWPnIFWyNKLrVNQ6NgVDN1cZnU8/ aLDPJ9mXO7FXWIakK9I7voWOW9Nz1IQZdVH+hNnbx4agvTzfNxA6vVGwHdsmldrQ7H+ciIc, LX+eNEmwtNv+14FObFf0Q0yodBAiWCOiVKsMiII4G9yk6NuZf1T0wXrYKLiHujP0xTx1Td cC2cmnQOF3NzDTXK/jWuyiD4o3Q3w2LS93Xe1UM45J423dQTjfiJzJjTSCOFPA+yJZaiZ 8DOzeerZtrbPnC2MA9XIWljZC466Dd7ZDw5rqh3apt2etu1GLB3bK32dHF5I09SnayjiO20Q 1FjiBYGIKH4QvnR/D1HbgyjMnwjjMU7cCdFMk3jizS2JfpjjOk7drmBPv7jH3jjm5jjmcjb 5c2IDrHdS+5MDJHeORXejPHAJkPeKsSY8itNTj7Y3PTBIYj1kP3lDc3lXr5lOrd3/VPlwGff vVjYET3mZbSOgEZ9QHRGq1za2qM/pYdIUue2X1OjXBuUIot6IMeOxGN4R9OMH1+56tNqBV+ YTwxCJQ+KKDGB21FQ1szaIQ7bqtJUJHJF6S2hgQPBXZFW4TBUJJBCkzJbaSZhOFKJLPGTmRK Z1Spp2zJ1ktCaqRKa3TGq4weJOXFKKjH7sJGbtWaSOYZCiXL9PPKCYWCtAlSkhNiI5ROvcgy+ jvRGAI+yut3TDuhTJkldrLOgzEdDzISrrHkAxFdfZJ+kHDUPXHhICPMC8NDiaTHxsw7i3ygjFxM 6avLwyS5ypS2+bvMwszDqVPlijtSOATNONxM/iNbxYQODSozMyZc4SaE9ZC9ETQkZdpO ydtszZjTzVScSVisydC5StjERDF4yH4OSflBZTtZSYS3OVKCReLaQedMQaWSXbebTS6Zt+MX zqAO16wEBEyvGcmPKpDbSu/sM69sTOOLPYXQgSrOPYXgAVrkB8SSVZCUIXYAi9OYP4M tPBssgCOVTCLgkTdIESwVTx9FUzVisr7n8S9cz3zOpAoNScOEPEKpNOzdGcSG8ETMCk z/aU1YQYKBGVTA/tOClIORVtsBatxI5UOLzzpUWEzBo1OY6CAgxDzoHsUeLOTcEdUhFVCFUc O9QMXYQITpykUScE/s41FU6IbMkn5C5X5FHmpDIt1UA6tKIloKE/q7ME2TE/B+y34ZA4yXTK0 WsrOThL6Ryco43U7kW1POqdORcU/wXI2Nu8rsZJqDkFr4vgU11V4e9CYyO9FnS6GaFPC Q1G5LNB9jASKjalInbsAHdEYTVS33FTp61Rx3MtPfVQDs9PHZNDDNIWERdVe2tflCVNFWhdFT NSUBI9LNb1XsyxTJWJVK7EMQHmtE2BFZC8VJkJbkpWFZpUk7FNFZ1NaYjXU5ojU4dZVIkTVI1 rcArDUOl3c3D69Y6/NbglFOVpNbfXIg27Uk6vEcxjVMwXU4xHVN43VIldbg6NVfLelOg/szX Kk2ygkJPf2XKeZlGf22j82TTegUUPr1OfuOpaizThZQ9iQWBhWbLTb1YjA1VR13WCYVUj10W LZicRgxzhpBHLYjRvjzZVW3UTEWfjiBSUBWekC3MZK1DWM2V/QxNZCVVc7S1sQpRaK1Ljx3Z qA1awqzWmFtWpp2chhBXpW1ajnBWoa1WZvUgqq1aYCaaX1W15xaKy3W2WyIf3VJLsU+soVS di3WpOWIdY3S6HPXFpYbjXJJOJJPa1ba83OgZ3JgN3JvmXGv9XOfI24wYWag/2ohKXXPp3T xSXP6TxcqXzPigOOiq3cBGWIZdW93tlci22IpvVcB43ZkQld/tNJVVqYNSEriyiEck2aEN y1RN3cIlflcfcKpY1OtU9XaDNXWNt2tLtXQTSWmA1Xc/1cDPM2tBl3o4QWws4xeVlWo/I2qhl 2rnBSKdDlxCdXmw927G9XtbkUeWdu44o2wQcSOLtUoZQlW7hlVCpLziOtc27jdW+PBW56UX/tJN IzRd2+Dpl/3Nrf4llcIVzwBWmrwlo7sdH7ot4DpqXDwilAYWRgaeLiVMYPecYLPkCKblTwlu 2kXtCONNS5YoMuP13UObCkIr4Q2uI6dYWhVeYQ113VB8YSD9ihEWURrG3ZrVXRXWd/1YRUe CpNMXxWuYZv41S3AAGgNXZtQTkIj/uLatV7ujclnheJxHYrureLxRdsmDtcqfsQurltq3eKh OFdPFNsihd+bjNe2vRj 7ZV+cpN8AflvhdGPAdWAdlBgDpuM7tWOt4eMHrl+DXWPHteAIxko9 puDa9GNFfruGyWBGr1SPMGE3mEP1mBWCOGVtYoU1uRQUwsSzmGYBeVOpuEatmFOxj5ThThFc leEZXmThdWXXNGUfptOifmGw2OIatVO5ZgmYO+VdvlqrgDyl7WVooeKtTZDTtOIr5o/wZeb3 HWa4nVIsZmMydgqq3UObhhchrIhCcZu7kmnEOD77c6AIdxw3ii1+M5yRthxHuRsXudrROR3 n1wEFBOI/nXJccx7deubnSO4pq2BllAWLU+ZYu3BhSp5dwlBlgUblhWboSwYVKahlra3DDlO3l iI6OiR5WsJDHiy71g1ZRUg5NXnZMxijmbUZh1M7EVC5my6gI12YMmTDW1waxGq3pZS5MmW4x edxpccJSuwDXn2bpdxZqcbfldxjXji5JnhYVjxSkNymCqPia5bq6IFqrPRqjFYjcGWMkKJA r55crK6OrR5ofcbrbwbosZZohs4NvwyVjdbhOuhVU4nxo3XrnV1aBIBrkZ7rOJwYt+7RWLUM YOVovO5mwlZavK5WvJbVFm1sadvexi4QbcXrB9HpyVYcasbpF4pmyw43Y5bnz2HE62Ax7bcm V3scMAsjm27JtbQhGsxumba1E4LJwYMw16jq66szdj27d4Gbrc26N8ebNh+5FY+7v9E KuXeYd9m+P+WYpe7JNsb1UY+tzzilO+Nm/N7rzGbuvG7OYmg8pW7pLoae/2TC5ObyM9b/3N b9bO7msab25S7pHM4+KWP9DLbofM7fSuuqn2blOx7eZWGv9ubeEJZNWmWfZua+t26P9mbvtm cLAICAAAOw=

[0025] An alternative exemplary implementation according to an embodiment of the present invention could use a small (30K) Tcl-based client applet similar to that described above which downloads and runs within the user's Web browser page but where the image data is not downloaded to the client computer but instead is remotely manipulated by the user. For example, the image data could be too large to download to the user. Such an applet would, for example, open a socket communications channel to a remote visualization server that stores and manipulates three dimensional image data. When the user makes a change to the controls in the applet GUI, such as to specify rotation around an axis, the remote visualization server would perform that computation on the data and transfers the resultant data display back to the user for viewing the result of the manipulation within the display frame of the client applet. The user could, for example, slice through the data at any angle and click upon any voxel on any slice surface to cause the associated descriptive text to be shown in the lower widow of the applet, for example in the manner described above. The efficiency of this type of system is such that object identification and response occurs in nearly “real time” with identification speeds of, for example, approximately ½ second over 56KB Internet connections. 

What is claimed is:
 1. A method for processing a multidimensional dataset, comprising: accessing a multidimensional image; indicating a location in the image; determining a multidimensional coordinate for the location; determining a program action as a function of the multidimensional coordinate; and executing the program action.
 2. The method according to claim 1 , wherein the program action includes one of HTML code, a Universal Resource Locator and applet code.
 3. The method according to claim 11 wherein the multidimensional dataset image includes a two-dimensional representation of a three-dimensional image.
 4. The method according to claim 1 , wherein the multidimensional coordinate includes a three-dimensional x,y,z coordinate.
 5. The method according to claim 1 , wherein the multidimensional coordinate includes a four-dimensional coordinate.
 6. A method for identifying a feature of a multidimensional image, comprising: accessing an image of a multidimensional dataset; outlining an object in the image; generating a program action for each object, a pixel in the object being assigned a unique identifier; generating a multidimensional secondary image map for the image; and generating an object table file providing a correspondence between each object and program action.
 7. The method according to claim 6 , wherein each pixel in the object has the same unique identifier.
 8. The method according to claim 6 , wherein a subset of pixels in the object have a second unique identifier.
 9. An article of manufacture, comprising: a computer usable medium having a computer readable program code means embodied therein for identifying a feature in a multidimensional image, the computer readable program code means including computer readable code means for causing a computer to access a multidimensional dataset image, computer readable code means for indicating a location in the image, computer readable code means for determining a multidimensional coordinate for the location, computer readable code means for determining a program action as a function of the multidimensional coordinate, and computer readable code means for executing the program action. 